
A research scientist at FAIR CodeGen Team, Meta Superintelligence Labs who works on improving agentic coding capabilities for Meta's next-generation LLM.
How media typically covers Yue Yu
Referenced in coverage
Meta demonstrates that language models can be trained to generate better scientific research plans using reinforcement learning with self-grading rubrics extracted from existing papers, achieving 70% expert preference improvements and cross-domain generalization to medical research.
“Co-authored research on training AI co-scientists using rubric rewards.”